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TPC-H lineitem SF100 Parquet data set
No full textThe lineitem table of the TPC-H benchmark's SF100 data set. Stored in Parquet files.
Website: https://www.tpc.org/tpch/
Related publications:
- TPC Benchmark H, Standard Specification Revision 2.17.2, 2017. https://www.tpc.org/tpc_documents_current_versions/pdf/tpc-h_v2.17.2.pdf
- Meikel Poess: TPC-H. Encyclopedia of Big Data Technologies, 2019. https://link.springer.com/referenceworkentry/10.1007/978-3-319-63962-8_126-
Large scale data warehouses on grid: Oracle database 10g and HP ProLiant systems
No full textGrid computing has the potential of drastically changing enterprise computing as we know it today. The main concept of Grid computing is to see computing as a utility. It should not matter where data resides, or what computer processes a task. This concept has been applied successfully to academic research. It also has many advantages for commercial data warehouse applications such as virtualization, flexible provisioning, reduced cost due to commodity hardware, high availability and high scale-out. In this paper we show how a large-scale, high performing and scalable Grid based data warehouse can be implemented using commodity hardware (industry standard x86based), Oracle Database 10G and Linux operating system. We further demonstrate this architecture in a recently published TPC-H benchmark. 1
TPC’s Benchmark Development Model: Making the First Industry Standard Benchmark on Big Data a Success
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Keeping the TPC Relevant!
No full textThe Transaction Processing Performance Council (TPC) is a nonprofit organization founded in 1988 to define transaction processing and database benchmarks. Since then, the TPC has played a crucial role in providing the industry with relevant standards for total system performance, price-performance, and energy-efficiency comparisons. TPC benchmarks are widely used by database researchers and academia. Historically known for database-centric standards, the TPC has developed a benchmark for virtualization and is currently developing a multisource data integration benchmark. The technology landscape is changing at a rapid pace, challenging industry experts and researchers to develop innovative techniques for evaluating, measuring, and characterizing the performance o
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